Volumes
Volumes captures the physical world as verified, high-fidelity 4D datasets—including spatial relationships, temporal dynamics, and physical interactions like force and contact—for training AI and robotics systems. The company targets AI labs, robotics developers, autonomous vehicle teams, and simulation providers that need accurate ground-truth data to build physical AI models.
- Robotics
- Artificial Intelligence
Funding
Raised to date
$120KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
AI models for robotics, simulation, and autonomous systems require high‑quality, ground‑truth data that captures how objects move and interact in real environments, but such spatiotemporal (4D) datasets are scarce, expensive to produce, and often lack physical interaction details.
Solution
Volumes provides a platform that records real‑world objects in motion, capturing spatial relationships, temporal dynamics, environmental context, and physical interactions such as force and contact. The resulting datasets are accurate, measurable copies of real physics and are offered under licensing terms for AI research and development. By delivering ready‑to‑use 4D data, Volumes enables AI labs to train models that can see, move, and reason about everyday environments without building their own capture pipelines.
Target Audience
Primary customers are AI research labs, robotics developers, autonomous vehicle teams, and simulation platform providers that need accurate 4D datasets to train and validate physical AI models.
Features
- Volumetric capture system that records objects in motion as spatiotemporal (4D) data
- Precise measurement of spatial relationships and temporal sequences
- Inclusion of environmental context for comprehensive scene understanding
- Capture of physical interaction metrics, including force and contact forces
- Licensable datasets formatted for direct integration into AI training pipelines
- High‑fidelity ground‑truth data that reflects real‑world physics for simulation and robotics applications